Prescriptive, descriptive or predictive models: What approach should be taken when empirical data is limited? Reply to comments on "Mathematical models for Dengue fever epidemiology: A 10-year systematic review".
Prescriptive, descriptive or predictive models: What approach should be taken when empirical data is limited? Reply to comments on "Mathematical models for Dengue fever epidemiology: A 10-year systematic review".
M. Aguiar,Vizda Anam,8 Authors,N. Stollenwerk
TLDR
Models incorporate factors focusing on several different aspects of the disease, including the duration of infectivity, infection rate, waning immunity rate, the biological properties of a vector and the biological properties of a vector.
Abstract
Mathematical modeling has become an important tool for the understanding of epidemiological systems, addressing ideas about the components of pathogen-environment-host interactions and acting as a guiding tool to predict disease spreading and to evaluate the introduction of control strategies. Models incorporate factors focusing on several different aspects of the disease (duration of infectivity, infection rate, waning immunity rate), the biological properties of a vector (vector biting rate, vector spreading capacity)
